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URL: https://www.coursera.org/learn/r-code-import-transform-data

⇱ R: Code, Import, Transform Data | Coursera


R: Code, Import, Transform Data

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R: Code, Import, Transform Data

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Write basic R scripts to import and transform data from delimited files by selecting and renaming columns for analysis.

Details to know

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Recently updated!

March 2026

Assessments

3 assignmentsΒΉ

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the Market Research Statistical Analysis & Data Visualization Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 2 modules in this course

This foundational course is your entry point into the world of data analysis with R. Designed for aspiring market research analysts and data professionals, this course teaches you how to write your first R scripts to take control of your data. You'll move from understanding core R syntax like variables, vectors, and data frames to applying that knowledge in practical, hands-on scenarios.

You will learn how to import data from common file types like CSVs and perform the essential first steps of any analysis: cleaning and transformation. Through a series of focused videos, readings, and hands-on learnings, you'll master how to select the data you need and rename columns for clarity and consistency. By the end, you won't just understand the code; you'll have written a script that prepares a raw dataset for analysis, a fundamental skill that underpins real-world projects at companies like the BBC and the Financial Times. This course provides the critical building blocks for a career in data.

This introductory module provides the essential building blocks for working in R. You'll explore why a clear, consistent syntax is critical for reproducible data analysis, using examples from leading data journalism teams. You will learn to create the core components you'll use in every R project: variables, vectors, and data frames. Through hands-on practice, you'll write your first lines of R code and solidify your understanding of these fundamental concepts.

What's included

2 videos1 reading2 assignments

2 videosβ€’Total 13 minutes
  • What Are Variables and Vectors?β€’7 minutes
  • How to Create Variables, Vectors, and Data Frames in R?β€’6 minutes
1 readingβ€’Total 10 minutes
  • Understanding R's Core Data Structure: The Data Frameβ€’10 minutes
2 assignmentsβ€’Total 20 minutes
  • Hands-On Learning: Your First R Objectsβ€’15 minutes
  • Knowledge Check: R Syntax Challengeβ€’5 minutes

In this module, you will apply your knowledge of R syntax to perform one of the most common tasks in data analysis: importing and cleaning a dataset. Drawing on examples from Google Cloud's use of R with BigQuery, you'll see why this first step is so critical. You will learn to use read.csv() to load data into R and then apply functions to select and rename columns, preparing the data for analysis. The module culminates in a final project where you will write a complete script to clean a real-world dataset.

What's included

2 videos1 reading1 assignment

2 videosβ€’Total 11 minutes
  • From Raw Data to Key Insightsβ€’6 minutes
  • From Import to Clean Data in Rβ€’5 minutes
1 readingβ€’Total 12 minutes
  • The Data Import and Transformation Workflowβ€’12 minutes
1 assignmentβ€’Total 30 minutes
  • Write a Data-Cleaning R Scriptβ€’30 minutes

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Instructor

276 Coursesβ€’32,516 learners

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Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,

ΒΉ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.